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Vlms Python Packages

Python packages with the GitHub topic vlms. Sorted by relevance, with stars and monthly downloads.
intel
auto-round

A SOTA quantization algorithm for high-accuracy low-bit LLM inference, seamlessly optimized for CPU/XPU/CUDA, with multi-datatype support and full compatibility with vLLM, SGLang, and Transformers.

79K 1K 135
intel
auto-round-nightly

A SOTA quantization algorithm for high-accuracy low-bit LLM inference, seamlessly optimized for CPU/XPU/CUDA, with multi-datatype support and full compatibility with vLLM, SGLang, and Transformers.

18K 1K 135
intel
auto-round-lib

A SOTA quantization algorithm for high-accuracy low-bit LLM inference, seamlessly optimized for CPU/XPU/CUDA, with multi-datatype support and full compatibility with vLLM, SGLang, and Transformers.

12K 1K 135
maokangkun
sigmaflow

SigmaFlow is a Python package designed to optimize the performance of task-flow related to LLMs/MLLMs or Multi-agent

7K 3 0
oumi-ai
oumi

Easily fine-tune, evaluate and deploy Gemma 4, Qwen3.5, Qwen3.6, gpt-oss, DeepSeek-R1, or any open source LLM / VLM!

3K 9K 765
intel
auto-round-hpu

A SOTA quantization algorithm for high-accuracy low-bit LLM inference, seamlessly optimized for CPU/XPU/CUDA, with multi-datatype support and full compatibility with vLLM, SGLang, and Transformers.

1K 1K 135
dvlab-research
visionzip

Official repository for VisionZip (CVPR 2025)

1K 431 27
fahmiaziz98
docvision

Production-ready document parsing with Vision Language Models

895 1 0
intel
auto-round-kernel

Auto Round Kernel binary package

813 1K 135
sethupavan12
llm-markdownify

Convert documents, images to high-quality Markdown using Vision LLMs. Built for RAG ingestion pipelines.

502 20 1
nanonets
docext

An on-premises, OCR-free unstructured data extraction, markdown conversion and benchmarking toolkit. (https://idp-leaderboard.org/)

433 2K 143
yasho191
swiftannotate

Auto labelling tool for Text, Image, Video

59 3 0
fahmiaziz98
doc-vision-parser

Python library for intelligent document parsing using Vision Language Models. Extract structured text and markdown from PDFs and images with self-correcting AI workflows. Supports OpenAI-compatible APIs.

3 1 0
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